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@@ -7,7 +7,7 @@ Model: https://huggingface.co/Signe22/patentsberta-green-hitl
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  Dataset: https://huggingface.co/datasets/Signe22/patents-50k-green-hitl
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- Video:
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  # Baseline Model (Frozen Embeddings)
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  As a starting point, I trained a fast baseline classifier using frozen PatentSBERTa embeddings. PatentSBERTa was used solely as a feature extractor, and a lightweight linear classifier was trained on top of the fixed embeddings.
 
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  Dataset: https://huggingface.co/datasets/Signe22/patents-50k-green-hitl
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+ Video: https://aaudk-my.sharepoint.com/:v:/g/personal/de63sv_student_aau_dk/IQAhFz1G1dSGRq_XVpBwxJxiAa4zONceO5y_To505Y47h0A
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  # Baseline Model (Frozen Embeddings)
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  As a starting point, I trained a fast baseline classifier using frozen PatentSBERTa embeddings. PatentSBERTa was used solely as a feature extractor, and a lightweight linear classifier was trained on top of the fixed embeddings.